A PyTorch implementation of PointRend: Image Segmentation as Rendering

This repo for Only Semantic Segmentation on the PascalVOC dataset.

Many details differ from the paper for feasibilty check.

Sampled Points showing from different strategies on A Dog image.

See test_point_sampling.ipynb

Original Figure

Reference : Pytorch Deeplab Tutorial

First, fix data path in default.yaml

Multi GPU Training See details in Single GPU Training

➜ python3 -m torch.distributed.launch --nproc_per_node={your_gpus} main.py -h

Sinle GPU Training

➜ python3 main.py -h
usage: main.py [-h] config save

PyTorch Object Detection Training

positional arguments:
  config      It must be config/*.yaml
  save        Save path in out directory

optional arguments:
  -h, --help  show this help message and exit

e.g.)

python3 main.py config/default.yaml test_codes